方法证据记录
Bayesian Decision Tree
Bayesian Decision Tree (Bayesian CART) places a prior distribution over tree structures and leaf parameters, then uses Markov chain Monte Carlo to explore the posterior distribution of trees given data. Instead of a single best tree, it produces a distribution of plausible trees whose predictions are averaged, yielding calibrated uncertainty estimates alongside point predictions.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Bayesian Decision Tree (Bayesian CART)
分类方法记录 · ml-model / machine-learning
- Chipman, H. A., George, E. I., & McCulloch, R. E. (1998). Bayesian CART model search. Journal of the American Statistical Association, 93(443), 935–948. · DOI 10.1080/01621459.1998.10473750
- Denison, D. G. T., Mallick, B. K., & Smith, A. F. M. (1998). A Bayesian CART algorithm. Biometrika, 85(2), 363–377. · URL
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